Charts on casual employment, occupation and industry, May 2022

Updated chart pack

Released

23/06/2022

Source

Labour Force, Australia, Detailed, May 2022

Casual employment, occupation and industry

This article includes information on casual employment, occupation and industry. It follows previous similar articles during the COVID period, including Insights into Industry and Occupation (in May 2020), Insights into casual employment, occupation and industry (in November 2020) and Charts on casual employment, occupation and industry (in May 2021, August 2021, November 2021 and February 2022). These can all be found in the Labour Force, Australia article archive.

The main indicator the ABS uses for casual employment is whether an employee is entitled to paid leave, which includes paid sick leave or paid annual leave. These entitlements are usually reserved for non-casual or permanent employment. Other measures of casual employment can be found in Working Arrangements.

Information in this article refers to a person’s ‘main job’, based on questions that are asked in the Labour Force Survey in February, May, August and November.

Hours worked by casual employees

Chart 1 compares the change in hours worked for casual employees (i.e. those without paid leave entitlements), non-casual employees (i.e. those with paid leave entitlements) and owner managers, indexed to February 2020. It shows that during periods with lockdowns and restrictions the hours of casual employees, and to a lesser extent owner managers, were particularly impacted.

The index shows the hours worked by casual employees remained flat between February and May, after returning to pre-pandemic levels in February 2022.

Chart 1: Hours worked index, Status in Employment, Original (Feb 2020 =100.0)
	Casual employees (February 2020 Index)	Employee with paid leave entitlements (February 2020 Index)	Owner Managers (February 2020 Index)
Nov-19	100.3	97.8	103.1
Feb-20	100.0	100.0	100.0
May-20	72.4	93.9	83.6
Aug-20	83.5	96.1	90.3
Nov-20	95.1	97.7	97.5
Feb-21	94.8	100.7	99.7
May-21	98.9	101.1	100.8
Aug-21	84.9	97.9	91.0
Nov-21	97.7	101.0	99.3
Feb-22	101.1	103.9	99.6
May-22	100.4	103.9	100.4

Chart 1: Hours worked index, Status in Employment, Original (Feb 2020 =100.0)

["","Casual employees","Employee with paid leave entitlements","Owner Managers"]

[["Nov-19","Feb-20","May-20","Aug-20","Nov-20","Feb-21","May-21","Aug-21","Nov-21","Feb-22","May-22"],[[100.3],[100],[72.400000000000006],[83.5],[95.099999999999994],[94.799999999999997],[98.900000000000006],[84.900000000000006],[97.700000000000003],[101.09999999999999],[100.40000000000001]],[[97.799999999999997],[100],[93.900000000000006],[96.099999999999994],[97.700000000000003],[100.7],[101.09999999999999],[97.900000000000006],[101],[103.90000000000001],[103.90000000000001]],[[103.09999999999999],[100],[83.599999999999994],[90.299999999999997],[97.5],[99.700000000000003],[100.8],[91],[99.299999999999997],[99.599999999999994],[100.40000000000001]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"Index","axis_units":"","tooltip_units":"(February 2020 Index)","table_units":"(February 2020 Index)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Source: Labour Force, Australia, Detailed, Datacube EQ04

Chart 2 compares the change in employment for casual employees, non-casual employees and owner managers, indexed to February 2020.

The number of employed people working as casuals increased in May 2022, returning to pre-pandemic levels.

Chart 2: Employment index, Status in Employment, Original (Feb 2020 =100.0)
	Casual employees (February 2020 Index)	Employees with paid leave entitlements (February 2020 Index)	Owner Managers (February 2020 Index)
Nov-19	100.0	99.0	101.1
Feb-20	100.0	100.0	100.0
May-20	79.4	97.4	95.1
Aug-20	88.0	98.5	97.6
Nov-20	94.4	100.1	98.5
Feb-21	95.2	100.9	101.8
May-21	99.1	101.7	101.8
Aug-21	92.5	100.8	101.6
Nov-21	96.6	103.1	102.4
Feb-22	98.3	105.2	102.5
May-22	100.4	106.1	101.2

Chart 2: Employment index, Status in Employment, Original (Feb 2020 =100.0)

["","Casual employees","Employees with paid leave entitlements","Owner Managers"]

[["Nov-19","Feb-20","May-20","Aug-20","Nov-20","Feb-21","May-21","Aug-21","Nov-21","Feb-22","May-22"],[[100],[100],[79.400000000000006],[88],[94.400000000000006],[95.200000000000003],[99.099999999999994],[92.5],[96.599999999999994],[98.299999999999997],[100.40000000000001]],[[99],[100],[97.400000000000006],[98.5],[100.09999999999999],[100.90000000000001],[101.7],[100.8],[103.09999999999999],[105.2],[106.09999999999999]],[[101.09999999999999],[100],[95.099999999999994],[97.599999999999994],[98.5],[101.8],[101.8],[101.59999999999999],[102.40000000000001],[102.5],[101.2]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"Index","axis_units":"","tooltip_units":"(February 2020 Index)","table_units":"(February 2020 Index)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Source: Labour Force, Australia, Detailed, Datacube EQ04

Chart 3 shows the average weekly hours worked by casual employees was around pre-pandemic levels in May 2022.

Chart 3: Hours worked by casual employees, Original
	Total weekly hours worked (million hours)	Average weekly hours worked (hours/week)
Nov-19	60.6	23.1
Feb-20	60.4	23.0
May-20	43.7	21.0
Aug-20	50.4	21.8
Nov-20	57.4	23.2
Feb-21	57.2	22.9
May-21	59.7	23.0
Aug-21	51.2	21.1
Nov-21	59.0	23.3
Feb-22	61.1	23.7
May-22	60.6	23.0

Chart 3: Hours worked by casual employees, Original

["","Total weekly hours worked","Average weekly hours worked"]

[["Nov-19","Feb-20","May-20","Aug-20","Nov-20","Feb-21","May-21","Aug-21","Nov-21","Feb-22","May-22"],[[60.600000000000001],[60.399999999999999],[43.700000000000003],[50.399999999999999],[57.399999999999999],[57.200000000000003],[59.700000000000003],[51.200000000000003],[59],[61.100000000000001],[60.600000000000001]],[[23.100000000000001],[23],[21],[21.800000000000001],[23.199999999999999],[22.899999999999999],[23],[21.100000000000001],[23.300000000000001],[23.699999999999999],[23]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"Hours per week","axis_units":"","tooltip_units":"(hours\/week)","table_units":"(hours\/week)","axis_min":"20","axis_max":"25","tick_interval":"1","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Millon hours ","axis_units":"","tooltip_units":"(million hours)","table_units":"(million hours)","axis_min":"40","axis_max":"65","tick_interval":"5","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Source: Labour Force Australia, Detailed, Datacube EQ04

Chart 4 shows the total weekly hours worked by casual employees across different weekly hours worked categories.

Chart 4: Total hours worked, by hours worked ranges, casual employees, Original
	1-9 hours (Million hours)	10-19 hours (Million hours)	20-29 hours (Million hours)	30-39 hours (Million hours)	40 hours or more (Million hours)
Nov-19	2.4	7.9	12.2	17.4	20.7
Feb-20	2.3	7.5	12.6	17.7	20.2
May-20	2.2	6.2	9.0	11.8	14.6
Aug-20	2.4	6.8	11.3	14.3	15.6
Nov-20	2.2	7.6	12.2	16.5	18.9
Feb-21	2.2	7.1	12.1	17.4	18.4
May-21	2.4	8.0	12.8	17.4	19.2
Aug-21	2.2	6.7	10.0	15.0	17.4
Nov-21	2.3	7.5	12.4	18.1	18.8
Feb-22	2.1	7.2	11.7	19.3	20.7
May-22	2.3	7.4	12.0	17.6	21.2

Chart 4: Total hours worked, by hours worked ranges, casual employees, Original

["","1-9 hours","10-19 hours","20-29 hours","30-39 hours","40 hours or more"]

[["Nov-19","Feb-20","May-20","Aug-20","Nov-20","Feb-21","May-21","Aug-21","Nov-21","Feb-22","May-22"],[[2.3999999999999999],[2.2999999999999998],[2.2000000000000002],[2.3999999999999999],[2.2000000000000002],[2.2000000000000002],[2.3999999999999999],[2.2000000000000002],[2.2999999999999998],[2.1000000000000001],[2.2999999999999998]],[[7.9000000000000004],[7.5],[6.2000000000000002],[6.7999999999999998],[7.5999999999999996],[7.0999999999999996],[8],[6.7000000000000002],[7.5],[7.2000000000000002],[7.4000000000000004]],[[12.199999999999999],[12.6],[9],[11.300000000000001],[12.199999999999999],[12.1],[12.800000000000001],[10],[12.4],[11.699999999999999],[12]],[[17.399999999999999],[17.699999999999999],[11.800000000000001],[14.300000000000001],[16.5],[17.399999999999999],[17.399999999999999],[15],[18.100000000000001],[19.300000000000001],[17.600000000000001]],[[20.699999999999999],[20.199999999999999],[14.6],[15.6],[18.899999999999999],[18.399999999999999],[19.199999999999999],[17.399999999999999],[18.800000000000001],[20.699999999999999],[21.199999999999999]]]

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[{"value":"0","axis_id":"0","axis_title":"Million hours ","axis_units":"","tooltip_units":"","table_units":"(Million hours)","axis_min":null,"axis_max":"25","tick_interval":"5","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Source: Labour Force Australia, Detailed, Datacube EQ04

Occupation

Chart 5a shows changes in employment and average hours worked in each of the major groups of occupations from before the pandemic to May 2022.

Chart 5a: Change in employed people and average hours worked, by Occupation, February 2020 to May 2022, Original
	Employed (%)	Average hours worked (%)
Managers	7.2	-3.5
Professionals	11.7	-1.9
Technical and trades workers	4.2	-3.3
Community and personal service workers	3.3	0.3
Clerical and administrative workers	2.2	-0.1
Sales workers	-3.7	-1.4
Machinery Operators and Drivers	4.6	-0.7
Labourers	-9.2	-1.7

Chart 5a: Change in employed people and average hours worked, by Occupation, February 2020 to May 2022, Original

["","Employed","Average hours worked"]

[["Managers","Professionals","Technical and trades workers","Community and personal service workers","Clerical and administrative workers","Sales workers","Machinery Operators and Drivers","Labourers"],[[7.2000000000000002],[11.699999999999999],[4.2000000000000002],[3.2999999999999998],[2.2000000000000002],[-3.7000000000000002],[4.5999999999999996],[-9.1999999999999993]],[[-3.5],[-1.8999999999999999],[-3.2999999999999998],[0.29999999999999999],[-0.10000000000000001],[-1.3999999999999999],[-0.69999999999999996],[-1.7]]]

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Source: Labour Force, Australia, Detailed Table 12

Chart 5b shows changes in employment and average hours worked in each of the major groups of occupations from before the Omicron variant to May 2022. Following the easing of lockdown restrictions in late 2021, employment and hours worked growth has been driven by Professionals, Technical and trades workers and Community and personal services workers.

Chart 5b: Change in employed people and average hours worked, by Occupation, November 2021 to May 2022, Original
	Employed (%)	Average hours worked (%)
Managers	-2.6	1.5
Professionals	6.2	-0.7
Technical and trades workers	5.3	-0.3
Community and personal service workers	3.5	0.7
Clerical and administrative workers	1.5	0.8
Sales workers	-2.8	-2.6
Machinery Operators and Drivers	1.9	1.5
Labourers	-0.2	-1.2

Chart 5b: Change in employed people and average hours worked, by Occupation, November 2021 to May 2022, Original

["","Employed","Average hours worked"]

[["Managers","Professionals","Technical and trades workers","Community and personal service workers","Clerical and administrative workers","Sales workers","Machinery Operators and Drivers","Labourers"],[[-2.6000000000000001],[6.2000000000000002],[5.2999999999999998],[3.5],[1.5],[-2.7999999999999998],[1.8999999999999999],[-0.20000000000000001]],[[1.5],[-0.69999999999999996],[-0.29999999999999999],[0.69999999999999996],[0.80000000000000004],[-2.6000000000000001],[1.5],[-1.2]]]

[]

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Source: Labour Force, Australia, Detailed Table 12

Chart 6 shows, for people employed in each occupation in February 2022, the proportion who were:

still employed in the same occupation in May 2022;
still employed in May 2022 but in a different occupation; or
no longer employed in May 2022.

Chart 6: Whether remained employed in May 2022, by Occupation in February 2022, Original
	Same occupation in February and May (%)	Different occupation in May (%)	Not employed in May (%)
Professionals	86.0	10.7	3.4
Technicians and Trades Workers	84.2	12.1	3.7
Community and Personal Service Workers	80.3	14.5	5.2
Machinery Operators and Drivers	76.3	19.1	4.5
Clerical and Administrative Workers	76.0	19.7	4.3
Managers	71.7	25.8	2.5
Sales Workers	70.0	24.4	5.6
Labourers	67.9	23.6	8.4

Chart 6: Whether remained employed in May 2022, by Occupation in February 2022, Original

["","Same occupation in February and May","Different occupation in May","Not employed in May"]

[["Professionals","Technicians and Trades Workers","Community and Personal Service Workers","Machinery Operators and Drivers","Clerical and Administrative Workers","Managers","Sales Workers","Labourers"],[[86],[84.200000000000003],[80.299999999999997],[76.299999999999997],[76],[71.700000000000003],[70],[67.900000000000006]],[[10.699999999999999],[12.1],[14.5],[19.100000000000001],[19.699999999999999],[25.800000000000001],[24.399999999999999],[23.600000000000001]],[[3.3999999999999999],[3.7000000000000002],[5.2000000000000002],[4.5],[4.2999999999999998],[2.5],[5.5999999999999996],[8.4000000000000004]]]

[]

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Source: Longitudinal Labour Force Microdata

Industry

Chart 7a shows changes in employment and average hours worked in each of the industry divisions from before the pandemic to May 2022.

Chart 7a: Change in employed people and average hours worked, by Industry, February 2020 and May 2022, Original
	Employed (%)	Average hours worked (%)
Agriculture , Forestry and Fishing	-16.9	5.8
Mining	23.4	-2.7
Manufacturing	-8.3	-5.8
Electricity	21.9	3.0
Construction	0.1	-0.9
Wholesale Trade	-3.6	0.6
Retail Trade	2.0	-1.0
Accommodation and food services	-2.3	-3.0
Transport, Postal and Warehousing	3.7	-0.9
Information Media and Telecommunications	-3.0	3.9
Financial and Insurance Services	20.1	-0.1
Rental, Hiring and Real Estate Services	5.8	0.5
Professional, Scientific and Technical Services	9.7	0.1
Administrative and Support Services	-4.9	-2.4
Public Administration and Safety	9.2	0.3
Education and Training	3.1	-4.0
Health Care and Social Assistance	12.3	-1.0
Arts and Recreation Services	-9.0	-4.4
Other Services	12.8	-3.7

Chart 7a: Change in employed people and average hours worked, by Industry, February 2020 and May 2022, Original

["","Employed","Average hours worked"]

[["Agriculture , Forestry and Fishing","Mining","Manufacturing","Electricity","Construction","Wholesale Trade","Retail Trade","Accommodation and food services","Transport, Postal and Warehousing","Information Media and Telecommunications","Financial and Insurance Services","Rental, Hiring and Real Estate Services","Professional, Scientific and Technical Services","Administrative and Support Services","Public Administration and Safety","Education and Training","Health Care and Social Assistance","Arts and Recreation Services","Other Services"],[[-16.899999999999999],[23.399999999999999],[-8.3000000000000007],[21.899999999999999],[0.10000000000000001],[-3.6000000000000001],[2],[-2.2999999999999998],[3.7000000000000002],[-3],[20.100000000000001],[5.7999999999999998],[9.6999999999999993],[-4.9000000000000004],[9.1999999999999993],[3.1000000000000001],[12.300000000000001],[-9],[12.800000000000001]],[[5.7999999999999998],[-2.7000000000000002],[-5.7999999999999998],[3],[-0.90000000000000002],[0.59999999999999998],[-1],[-3],[-0.90000000000000002],[3.8999999999999999],[-0.10000000000000001],[0.5],[0.10000000000000001],[-2.3999999999999999],[0.29999999999999999],[-4],[-1],[-4.4000000000000004],[-3.7000000000000002]]]

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Source: Labour Force, Australia, Detailed Table 4 and Table 11

Chart 7b shows changes in employment and average hours worked in each of the industry divisions from before the Omicron variant to May 2022.

Chart 7b: Change in employed people and average hours worked, by Industry, November 2021 and May 2022, Original
	Employed (%)	Average hours worked (%)
Agriculture , Forestry and Fishing	-11.8	6.2
Mining	8.5	2.3
Manufacturing	-3.0	-1.0
Electricity	21.6	3.7
Construction	3.0	0.1
Wholesale Trade	4.4	-0.5
Retail Trade	-1.3	-0.4
Accommodation and food services	5.8	-1.2
Transport, Postal and Warehousing	4.9	1.2
Information Media and Telecommunications	8.0	8.2
Financial and Insurance Services	8.1	-1.9
Rental, Hiring and Real Estate Services	-2.7	-0.8
Professional, Scientific and Technical Services	5.0	0.9
Administrative and Support Services	-3.8	0.3
Public Administration and Safety	-1.7	-1.4
Education and Training	-0.3	-1.2
Health Care and Social Assistance	6.3	-0.2
Arts and Recreation Services	-1.2	-0.6
Other	2.7	0.8

Chart 7b: Change in employed people and average hours worked, by Industry, November 2021 and May 2022, Original

["","Employed","Average hours worked"]

[["Agriculture , Forestry and Fishing","Mining","Manufacturing","Electricity","Construction","Wholesale Trade","Retail Trade","Accommodation and food services","Transport, Postal and Warehousing","Information Media and Telecommunications","Financial and Insurance Services","Rental, Hiring and Real Estate Services","Professional, Scientific and Technical Services","Administrative and Support Services","Public Administration and Safety","Education and Training","Health Care and Social Assistance","Arts and Recreation Services","Other"],[[-11.800000000000001],[8.5],[-3],[21.600000000000001],[3],[4.4000000000000004],[-1.3],[5.7999999999999998],[4.9000000000000004],[8],[8.0999999999999996],[-2.7000000000000002],[5],[-3.7999999999999998],[-1.7],[-0.29999999999999999],[6.2999999999999998],[-1.2],[2.7000000000000002]],[[6.2000000000000002],[2.2999999999999998],[-1],[3.7000000000000002],[0.10000000000000001],[-0.5],[-0.40000000000000002],[-1.2],[1.2],[8.1999999999999993],[-1.8999999999999999],[-0.80000000000000004],[0.90000000000000002],[0.29999999999999999],[-1.3999999999999999],[-1.2],[-0.20000000000000001],[-0.59999999999999998],[0.80000000000000004]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"-12","axis_max":"25","tick_interval":"5","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Source: Labour Force, Australia, Detailed Table 4 and Table 11

Chart 8 shows, for people employed in each industry in February 2022, the proportion who were:

still employed in the same industry in May 2022;
still employed in May 2022 but in a different industry; or
no longer employed in May 2022.

Chart 8: Whether remained employed in May 2022, by Industry in February 2022, Original
	Same industry in February and May (%)	Different industry in May (%)	Not employed in May (%)
Health Care and Social Assistance	88.6	7.3	4.1
Financial and Insurance Services	87.9	7.1	4.9
Education and Training	86.8	9.7	3.5
Mining	84.4	10.5	5.1
Public Administration and Safety	81.8	15.9	2.3
Construction	80.6	16.4	3
Accommodation and Food Services	78.9	13.7	7.4
Information Media and Telecommunications	78.7	18.1	3.2
Agriculture, Forestry and Fishing	78.1	16.6	5.4
Professional, Scientific and Technical Services	77.2	19	3.8
Rental, Hiring and Real Estate Services	77	19.5	3.5
Retail Trade	76.4	18.7	4.9
Transport, Postal and Warehousing	75.2	20.4	4.4
Other Services	72.8	23.6	3.6
Manufacturing	70.5	25.2	4.3
Arts and Recreation Services	69.7	23.3	7
Administrative and Support Services	65.7	27.5	6.8
Electricity, Gas, Water and Waste Services	65.2	29.5	5.3
Wholesale Trade	55.8	41.5	2.7

Chart 8: Whether remained employed in May 2022, by Industry in February 2022, Original

["","Same industry in February and May","Different industry in May","Not employed in May"]

[["Health Care and Social Assistance","Financial and Insurance Services","Education and Training","Mining","Public Administration and Safety","Construction","Accommodation and Food Services","Information Media and Telecommunications","Agriculture, Forestry and Fishing ","Professional, Scientific and Technical Services ","Rental, Hiring and Real Estate Services ","Retail Trade","Transport, Postal and Warehousing ","Other Services","Manufacturing","Arts and Recreation Services","Administrative and Support Services","Electricity, Gas, Water and Waste Services ","Wholesale Trade"],[[88.599999999999994],[87.900000000000006],[86.799999999999997],[84.400000000000006],[81.799999999999997],[80.599999999999994],[78.900000000000006],[78.700000000000003],[78.099999999999994],[77.200000000000003],[77],[76.400000000000006],[75.200000000000003],[72.799999999999997],[70.5],[69.700000000000003],[65.700000000000003],[65.200000000000003],[55.799999999999997]],[[7.2999999999999998],[7.0999999999999996],[9.6999999999999993],[10.5],[15.9],[16.399999999999999],[13.699999999999999],[18.100000000000001],[16.600000000000001],[19],[19.5],[18.699999999999999],[20.399999999999999],[23.600000000000001],[25.199999999999999],[23.300000000000001],[27.5],[29.5],[41.5]],[[4.0999999999999996],[4.9000000000000004],[3.5],[5.0999999999999996],[2.2999999999999998],[3],[7.4000000000000004],[3.2000000000000002],[5.4000000000000004],[3.7999999999999998],[3.5],[4.9000000000000004],[4.4000000000000004],[3.6000000000000001],[4.2999999999999998],[7],[6.7999999999999998],[5.2999999999999998],[2.7000000000000002]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Source: Longitudinal Labour Force Microdata

Post release changes

24/06/2022 - The axis labels in Chart 8 'Whether remained employed in May 2022, by Industry in February 2022, Original' have been corrected. No data has changed.

APA

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